scholarly journals Participatory Mapping of Village Potential with Geotagging Data (Case Study: Wedomartani Village, Sleman, Yogyakarta)

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Dandi Arianto Pelly ◽  
Maryadi Budi Wiyono
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Spatial Data ◽  
Google Earth ◽  
Wide Range ◽  
Real Objects ◽  
Village Communities ◽  
Medium Businesses ◽  
The Village ◽  
Imagery Data

Digital spatial data has the highest demand, especially for the needs of analysis in terms of mapping. Mapping is currently the focus of attention of many institutions because real objects in the field in a wide range can be visualized in a precision field with a specif ic scale. Many villages do not have digital spatial data; one ofthem is Wedomartani village. Therefore, an inventory of digital spatial data of important village objects needs to be done. This study aims to map the potential of village using satellite imagery data from Google Earth and Geotagging photographs and determine the zoning potential of the Land Use of Wedomartani village. The method used to map the potential of villages using satellite imagery data is the method of interpretation, then geotagging photo data obtained through surveys utilizing GPS tag technology from smartphones and the participatory role of village communities. The determination of village land-use zoning used the matching method of the potential map with validation of geotagging photo data. The results interpretation of satellite images shows that the potential in the village of Wedomartani in the form of important objects as the potential of the village is public facilities, tourism objects, theme parks, sports facilities, buildings, roads, rivers, and agriculture. The zoning results of the potential land use of the Wedomartani village consist of Trade and Service Zones in the form of micro, small and medium businesses spread along the main road as a sector of economicpotential (212.73 Ha); The Recreation Zone is in the form of Maguwoharjo Football Stadium, Jogja Bay Pirates Adventure Park Family Park, Tambak Boyo Reservoir and Gebang Temple Cultural Heritage Site as a potential tourism sector (23.48 Ha); Agricultural and Plantation Zones in the form of irrigated rice, maize and chili as potential for sustainable agriculture (661.19 Ha).

scholarly journals Evaluasi Debit Puncak Sub DAS Krueng Seulimum Kabupaten Aceh Besar

2020 ◽  
Vol 4 (2) ◽  
pp. 407-415
Author(s):  
Intan Ridha Putri ◽  
Muhammad Rusdi ◽  
Hairul Basri
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Spatial Data ◽  
Land Use Changes ◽  
Water System ◽  
Daily Rainfall ◽  
Google Earth ◽  
Peak Discharge ◽  
Survey Method ◽  
Attribute Data

Abstrak. Pemanfaatan lahan yang kurang bijak oleh masyarakat dapat menyebabkan terjadinya gangguan ekosistem seperti terganggunya tata air pada suatuDAS sehingga bisa mengakibatkan terjadinya banjir dan erosi. Karakteristik banjir cenderung makin besar ditandai dengan peningkatan debit puncak.Dilihat dari penyebabnya, peristiwa banjir tersebut banyak disebabkan karena adanya alih fungsi lahan dan pemanfaatan lahan yang tidak tepat. Penelitian ini bertujuan untuk mengetahui besarnya perubahan debit puncak yang terjadi pada tahun 2010 dan 2017 pada Sub DAS Krueng Seulimum Kabupaten Aceh Besar.Penelitian ini dilaksanakan pada Sub DAS Krueng Seulimum Kabupaten Aceh Besar. Penelitian ini menggunakan metode survei deskriptif dengan menggunakan data atribut dan data spasial. Data atribut berupa data curah hujan harian maksimum tahun 2010 dan 2017. Data spasial berupa citra satelit penggunaan lahan tahun 2010 diperoleh melalui google earth pro, citra satelit penggunaan lahan tahun 2017 diperoleh melalui SAS Planet. Hasil penelitian menunjukkan nilai koefisien limpasan meningkat dari 0,056 tahun 2010 menjadi 0,061 tahun 2017. Nilai debit puncak mengalami peningkatan, dimana pada tahun 2010 nilai debit puncak sebesar 32,896 m3/dt menjadi 39,102 m3/dt pada tahun 2017. Hal ini dikarenakan adanya perubahan penggunaan lahan pada hutan sehingga kemampuan daya serap tanah terhadap air hujan semakin menurun. Secara umum kondisi Sub DAS Krueng Seulimum masih tergolong baik karena peningkatan nilai koefisien limpasan dan debit puncak tidak terlalu signifikan.Of Peak Discharge Evaluation On Sub Watershed Of Krueng Seulimum Aceh Besar DistrictAbstract.  Unwise use of land by society can cause of disturbance ecosystem as disturbed water system on watersheds that result in occurrence flood and erosion. The characteristics of floods tend to be greater marked by an increase in peak discharge. Seen from causes, events flood that is many because existence take over function land and utilization land that is not right. This research aim for knowing the magnitude changes in the peak discharge that occur in 2010 and 2017 on Subwatershed of Krueng Seulimum Aceh Besar District. The research was conducted on Subwatershed of Krueng Seulimum Aceh Besar District. This research use descriptive survey method using attribute data and spatial data. Attribute data in the form of maximum daily rainfall data in 2010 and 2017. Spatial data form of land use satellite imagery in 2010 was obtained through google earth pro, satellite imagery of land use in 2017 was obtained through SAS Planet.The study states use value coefficient runoff increase from 0,056 in 2010 to be 0,061 in 2017. Peak discharge value experience increase, where in 2010 the peak discharge value amounting to 32,896 m3/dt becomes 39,102 m3/dt in 2017. This is due to land use changes in the forest so that the capability to absorption land agains rain water descreases. In generally condition on Sub watershed of Krueng Seulimum  still classified good because the increase in values runoff coefficient and peak discharge  is not too significant.

scholarly journals Pembuatan Peta Citra Desa Ngargosari Kecamatan Samigaluh Kabupaten Kulon Progo

2019 ◽  
Vol 2 (1) ◽  
pp. 235
Author(s):  
Taufik Hery Purwanto ◽  
Karen Slamet Hardjo ◽  
Agung Jauhari ◽  
Rendy Putra Maretika
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Policy Making ◽  
Field Survey ◽  
Group Discussion ◽  
Community Leaders ◽  
Geospatial Information ◽  
Thematic Map ◽  
Land Cover Maps ◽  
The Village

Availability and understanding about the importance of spatial data, especially Village Maps, forrural communities are still minimum. Ngargosari Village, a village in Samigaluh District, KulonProgo Regency, was almost never used spatial data or maps to support the development.Whereas, UU 6 of 2014 concerning Villages states that Village Maps are the basis of informationand support systems in policy making. Village Map is a basic thematic map that containselements and information such as regional boundaries, roads/ infrastructure, topography,waters, facilities, and land use, which were presented in image maps, maps of facilities andinfrastructure, as well as land cover maps and land use (Perka BIG No. 3 in 2016 concerningTechnical Specifications for Presentation of Village Maps). Therefore, this community serviceaims to emphasize an understanding of the importance of Geospatial Information. Thecommunity is involved in making Village Maps through participatory mapping. The methods thatwere used are a remote sensing approach, field survey, and Focus Group Discussion (FGD)involving the Village Head, Village Officials, Hamlet Heads and Community Leaders. The resultsof this service are in the form of a map of the image of the Ngargosari Village which containsinformations about the boundaries of the village administration and hamlets, and also regionalfacilities and infrastructure.

scholarly journals Communalization and Distribution of Pekulen Land use

2019 ◽  
Vol 8 (5C) ◽  
pp. 861-867
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Customary Law ◽  
Village Community ◽  
Central Java ◽  
Village Communities ◽  
The Right ◽  
Colonial Government ◽  
The Village ◽  
Personal Interests

The purpose of this study is to describe the tradition of communalization of pekulen land and the distribution of its use. This research conducted with an empirical legal research that locations in Pituruh Subdistrict, Purworejo Regency, Central Java with socio-legal approach. This research found that the communal mechanism for pekulen land was first developed by the Dutch colonial government by utilizing local customary law in order to guarantee the availability of labor and agricultural land for land taxes and cultuurstelsel. This model now transformed and has many benefits such distribute the right of land use, protecting the rights of landholders, guaranteeing the protection of land functions, maintaining the integrity of village communities, and so on. The implementation of communalization of pekulen land and distribution of its use is a mechanism of local wisdom that grows and develops by transforming the values of customary law in land regulation. This activity consists of 2 (two) things, the first is the communalization of pekulen land which carried out by taking part of the rights to work on pekulen land to be used in the control and arrangement with the hamlet/ village community. Second, the distribution of the use of pekulen land is an action to distribute the right to cultivate pekulen land. Pekulen land is a form of land rights originating from customary law which is owned by the village community who are given the right of use to members of the village community to be used for their personal interests. This paper provide new way to understanding the practice of communalization of land that initiated by the citizens. Discussion about the communal land during this only related to the tribal society or indigineus people. In fact Indonesian community, especially village in Java have communal religious character and the strong value customary law.

scholarly journals A New Approach to High-Resolution Urban Land Use Classification Using Open Access Software and True Color Satellite Images

2019 ◽  
Vol 11 (19) ◽  
pp. 5266 ◽  
Author(s):  
Fernando Chapa ◽  
Srividya Hariharan ◽  
Jochen Hack
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Urban Areas ◽  
Google Earth ◽  
Urban Land Use ◽  
Land Use Land Cover ◽  
Wide Range ◽  
True Color ◽  
Land Cover Maps

Urbanization nowadays results in the most dynamic and drastic changes in land use/land cover, with a significant impact on the environment. A detailed analysis and assessment of this process is necessary to take informed actions to reduce its impact on the environment and human well-being. In most parts of the world, detailed information on the composition, structure, extent, and temporal changes of urban areas is lacking. The purpose of this study is to present a methodology to produce high-resolution land use/land cover maps by the use of free software and satellite imagery. These maps can help to understand dynamic urbanizations processes to plan, design, and coordinate sustainable urban development plans, especially in areas with limited resources and advancing environmental degradation. A series of high-resolution true color images provided by Google Earth Pro were used to do initial classifications with the Semi-Automatic Classification Plug-in in QGIS. Afterwards, a new methodology to improve the classification by the elimination of shadows and clouds, and a reduction of misclassifications through superimposition was applied. The classification was carried out for three urban areas in León, Nicaragua, with different degrees of urbanization for the years 2009, 2015, and 2018. Finally, the accuracy of the classification was analyzed using randomly defined validation polygons. The results are three sets of high-resolution land use/land cover maps of the initial and the improved classification, showing the detailed structures and temporal dynamics of urbanization. The average accuracy of classification reaches 74%, but up to 85% for the best classification. The results clearly identify advancing urbanization, the loss of vegetation and riparian zones, and threats to urban ecosystems. In general, the level of detail and simplicity of our methodology is a valuable tool to support sustainable urban management, although its application is not limited to these areas and can also be employed to track changes over time, providing therefore, relevant information to a wide range of decision-makers.

scholarly journals Land Use Change and Urban Ecosystem Services: A Case Study of Urban Wetlands in a Rapidly Sprawling City in the Highlands of Chiapas, Mexico

2019 ◽  
Vol 9 (1) ◽  
pp. 67
Author(s):  
Vera Camacho-Valdez ◽  
Eva M. Tello-Alcaide ◽  
Allen Wootton ◽  
Emmanuel Valencia-Barrera
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Ecosystem Service ◽  
Google Earth ◽  
Land Use Land Cover ◽  
Urban Wetlands ◽  
Rapid Urbanization ◽  
Wide Range ◽  
The Impact

Urban wetlands provide a wide range of ecosystem services that are important for human-well-being. Despite their social and environmental importance, the degradation of urban wetlands continues mainly due to land use changes induced by rapid urbanization. Estimating the impact of these changes on ecosystem services is crucial to support the decision-making process of city planners at different levels. In this study, the spatial extents of the urban wetlands of San Cristobal de Las Casas, Chiapas, Mexico were determined for the years 2001 and 2018 in order to relate the spatial changes between these years with the provision and economic value of ecosystem services. Google Earth and SPOT imagery were used to evaluate land use/land cover changes while international coefficients were used to assess the value of the ecosystem services by category. Findings reveal a 7.3% decrease in the urban wetland area and a 12.5% increase of urban areas during the study period. The ecosystem service valuation shows that the total value flow decreased around $5 million (2007 USD) during the 17-year period, mainly due to decreases in the potential for regulating and cultural services. The use of freely available land use/land cover data together with global ecosystem service estimates reduce the cost of ground data collection and provides quick and reliable information that could help decision makers with land use planning in the context of data-scarce regions.

scholarly journals APLIKASI CITRA SENTINEL-2 UNTUK PEMETAAN TUTUPAN DAN PERUNTUKAN LAHAN PADA TINGKAT DESA

2020 ◽  
Vol 12 (02) ◽  
pp. 189
Author(s):  
Indarto Indarto ◽  
Marga Mandala ◽  
Fery Febrian Arifin ◽  
Farid Lukman Hakim
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Google Earth ◽  
Primary Input ◽  
Digital Map ◽  
Village Level ◽  
Irrigated Area ◽  
Sentinel 2A ◽  
The Village ◽  
Sentinel 2

Sentine-2 menjanjikan citra yang gratis, pada ketelitian spasial sedang dan ketelitian spektral tinggi. Data citra ini mungkin dapat digunakan sebagai dasar pemetaan tutupan lahan (land cover) dan pruntukan lahan (land use) sampai dengan level Desa. Artikel ini bertujuan untuk membandingkan dan mengevaluasi peta tematik yang dihasilkan dari: (1) Klasifikasi dari citra Sentinel-2A, (b) digitasi manual dari Google Earth Image, (c) dan peta RBI (Rupa Bumi Indonesia). Citra Sentinel-2A, citra google earth dan peta RBI digital  digunakan sebagai input utama. Pengolahan citra Sentinel-2A mencakup: atmosferic correction, image composite, klasifikasi terbimbing, koleksi training area,  dan  uji-akurasi. Selanjutnya, ke tiga jenis peta tematik yang dihasilkan digunakan untuk membandingkan luasan per jenis tutupan lahan  yang dipetakan dan interpretasi perubahan peruntukan lahan yang terjadi. Selanjutnya, wilayah empat desa digunakan sebagai sampel pengukuran. Penelitian menghasilkan peta tematik tutupan dan peruntukan lahan pada level Desa. Perbandingan peta tematik menunjukkan bahwa citra Sentinel mampu untuk menangkap fitur tutupan lahan yang utama (yaitu: Lahan-sub-optimal kering, lahan irigasi, lahan non-irigasi, area terbangun, hutan-perkebunan, dan badan air) pada level desa. Lebih lanjut peta yang dihasilkan dari citra Sentinel dapat digunakan untuk memperbaharui, perencanaan dan evaluasi kegiatan pembangunan di Desa. Kata Kunci: Sentinel-2A, Pemetaan, Tutupan Lahan, peruntukan lahan, desa.Sentinel-2 provide a free of cost imagery in medium spatial and high spectral resolutions. These data promise a rapid, low-cost and easy to apply imagery for the end-user.  These free data may produce a rationale thematic land cover and land use (LCLU) map at the village level. This paper aims to compare and to evaluate the thematics maps created by (a) Sentinel-2, (b) digitalisation from Google Earth and (c) RBI (Rupa Bumi Indonesia) Digital Map. Sentinel-2 image, google earth image, and RBI digital map used as the primary input. The treatment of sentinel 2A imagery consists of atmospheric correction, image composite, supervised classification, collecting training areas, and accuracy assessment.  The three types of maps use to compare area extent mapped for each type of land cover (LC), and the interpretation of land-use change occurred. Four villages used as samples of measurement. The research produces thematic LCLU maps at the village level. Comparison of maps shows that Sentinel capable of capturing major LC (i.e., Dry-marginal land, non-irrigated area, irrigated area, pavement areas, forest - plantation, and water body) at the village level.  Moreover, Sentinel-2A produce more detail of land cover type. Finally, the maps derived from Sentinel data provide data for up-dating, planning and evaluation of village development.Keywords :  Sentinel-2A, mapping, land cover, land use, village.

scholarly journals Landslide susceptibility assessment and mapping using statistical and data mining models in Iran

2021 ◽  
Author(s):  
Abdulaziz Hanifinia ◽  
Habib Nazarnejad ◽  
Saeed Najafi ◽  
Aiding Kornejady ◽  
Hamid Reza Pourghasemi
Keyword(s):  
Data Mining ◽  
Land Use ◽  
Shannon Entropy ◽  
Landslide Susceptibility ◽  
Goodness Of Fit ◽  
Slope Angle ◽  
Google Earth ◽  
Slope Aspect ◽  
Support Vector ◽  
The Village

Abstract This study applied to evaluate landslide susceptibility using four data mining models including, “Generalized Linear Model (GLM)”, “Maximum Entropy (ME)”, “Artificial Neural Network (ANN)”, and “Support Vector Machine (SVM)” in Cherikabad Watershed in Urmia City, Iran. In particular, Shannon entropy was used to assess the intercomparison of factors’ classes. Eleven factors including, elevation, slope angle, slope aspect, geological formation, annual mean rainfall, land use/ land cover, distance to the village, distance to faults, distance to roads, distance to streams, and NDVI used in the current study. Landslide inventory map was identified using Google Earth imagery, extensive field surveys, and scrutinizing archived data. The produced landslide susceptibility maps were evaluated by the AUROC index. The results of performance metrics revealed that the Shannon entropy with an AUROC of 0.879 proved highly reliable and so is the intercomparison analysis of factors’ classes derived from it. Additionally, the goodness-of-fit of the GLM, ME, ANN, and SVM models were 0.763, 0.740, 0.926, and 0.924, while their predictive powers were 0.751, 0.727, 0.917, and 0.935, respectively. Hence, the results indicated that the SVM model can be introduced as the superior model for the study area based on which the most critical factors affecting landslides were found to be elevation, annual mean rainfall, and distance to the village. The results of this work are of great use for land use planning in landslide-prone areas with similar geo-topological, geomorphological, and climatic conditions.

scholarly journals Attraction of web technologies for monitoring the current state of the settlement council’s (territorial community) land fund

2019 ◽  
Keyword(s):  
Land Use ◽  
Google Earth ◽  
Google Maps ◽  
Web Technologies ◽  
Web Resources ◽  
Anthropogenic Origin ◽  
Web Resource ◽  
Intended Purpose ◽  
Village Council ◽  
The Village

The purpose of this article is to formulate practical recommendations for the use of web technologies, such as Google Earth or Google Maps, for creating land council web maps (based on example Bezlyudivka Village Council of Kharkiv region), which provides information on the structure of land, its intended purpose and the possibility to implement public on-line monitoring of existing manifestations of irrational land use, dynamics of spreading adverse processes of natural and anthropogenic origin within the village council (territorial community). The main material. The territory of the village council (territorial community) is the initial link to collecting and organizing information about the land fund in Ukraine, including data about their composition, intended purpose, land use, etc. Nevertheless, reporting information is usually presented in tabular form and is o???? en unavailable for public use. At the same time, available public web resources, such as the Public cadastral map, the yearbook «Monitoring of land relations in Ukraine», the portal otg.land.gov.ua, portals of the city (town) planning cadastre, etc., do not contain interactive web-maps monitoring the land use within village councils (territorial communities). Such maps should, first of all, include: 1) a map of the distribution of different intended purpose lands within the village council’s (territorial community) territory, 2) a distribution map of some adverse processes both with natural and anthropogenic purpose. This kind of maps is a prerequisite to monitoring, including public, detection of the facts of land use not for the intended purpose, monitoring of the spread adverse phenomena and processes, both of natural - erosion, flooding and anthropogenic origin, such as pollution, rubbish dump place, etc. In the framework of our study such maps were made for the Bezlyudivka settlement council of Kharkiv region. The first map is «Intended purpose of the Bezlyudivka settlement council’s lands». The second map is «Spread of unfavorable processes of natural and anthropogenic origin in the territory of Bezlyudivka settlement council». Using Google Earth or Google Maps geoservices as a platform, containing space imagery across the entire country, will allow us to draw such maps for other village councils (territorial community), collated and compared with each other. In case of changes in the territorial structure - relatively quickly make the necessary changes and add-ons. To make search for the required web map data easier and establish the information interaction between public activists and relevant civil servants, it is advisable to place links to these web resources on the official site of the village council (territorial community). Conclusions and further research. Creation of web-maps of the village council’s (territorial community) territory on the basis of geo-services Google Earth or Google Maps will allow us: a) to create a public web-resource containing systematic information about the land fund of the village council’s territory and features of its use; b) to conduct public online monitoring of land use according to their intended purpose, monitoring manifestations of irrational land use, spread of adverse natural processes, etc.; c) promote the transparency of priority tasks of land use within a separate base council that need immediate resolution. Perspective is to expand the list of web maps including the soil pollution maps, maps of detected land use violation, in particular, cases of unauthorized seizure or inappropriate use of land, removal of the fertile layer without permission, contamination of land, violations of land reclamation.

Rail survey plans to remote sensing: vegetation change in the Mulga Lands of eastern Australia and its implications for land use

2011 ◽  
Vol 33 (3) ◽  
pp. 229 ◽  
Author(s):  
Roderick J. Fensham ◽  
Owen Powell ◽  
James Horne
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Vegetation Change ◽  
Forest Cover ◽  
Carbon Sink ◽  
Google Earth ◽  
Dry Forest ◽  
Tree Cover ◽  
Forest Types ◽  
Eastern Australia

There is a prevailing paradigm that woody vegetation is expanding at the expense of grassland with reduced burning under pastoralism in the Mulga Lands biogeographic region in eastern Australia. This raises the possibility that the region is acting as a carbon sink. Vegetation boundaries were precisely positioned from rail survey plans dating from 1895 to 1900. This baseline was compared with the position of boundaries on 1952 aerial photography and 2010 Google Earth imagery. The conversion of forest to non-forest by mechanical clearing was also mapped from satellite imagery. There was no consistent trend in the direction of boundary movement for mulga (Acacia aneura F.Muell. ex Benth.), gidgee (Acacia cambagei R.T. Baker) forest or miscellaneous other forest types. The stability of the boundaries, despite the transition from aboriginal management to rangeland pastoralism, contrasts with dramatic declines in tree cover resulting from mechanical clearing. Mapping of forest cover from satellite imagery reveals that conversion of forest to non-forest has reduced mulga forest to 74%, gidgee forest to 30% and miscellaneous forest types to 82% of their original area. Annual clearing rates for the period between 1997 and 2005 were 0.83, 0.95 and 0.43% for those forest types, respectively. Clearing has declined substantially in the period 2005–09 since the advent of recent regulations in Queensland. The area remains a source of carbon emissions but this situation may reverse if restoration of mulga dry forest becomes an attractive land use with an emerging carbon market.

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